현재 부산연구원 디지털정보게이트 사이트가 개편중입니다.

연구보고서

부산형 데이터 댐 기반 데이터 산업 육성 방안
부산연구원 이상민 16 2025-07-08
해시태그
    문서정보
    연구위원

    ▪ 연구책임 ▪

    배 수 현  경제산업연구실 연구위원

    ▪ 연구참여 ▪

    최 윤 찬  해양관광연구실 선임연구위원 

    장 하 용  해양관광연구실 연구위원 

    구 윤 모  경제산업연구실 연구위원 

    정 희 정  경제산업연구실 연구원

    문서요약
    부산은 산업 및 라이프스타일의 디지털 전환을 위해 데이터 산업 육성이 필수적이며, 이를 위해 '부산형 데이터 댐' 구축과 '데이터 생태계 육성'을 추진 방향으로 설정했다.

    현재 부산의 공공데이터는 품질과 다양성 면에서 미흡하며, 활용도를 높이기 위해 데이터 수집 및 품질 관리 체계 마련, 민간데이터 활용을 위한 법적 제도 마련이 시급하다.

    노인 맞춤형 빅데이터 기술, 의료 마이데이터 연계 스마트 헬스케어, 부산 관광 빅데이터 플랫폼 등 부산 특화 분야에서의 기술 개발 및 지원이 필요하다.

    데이터 산업의 혁신 역량 강화를 위해 데이터 전문기업 육성 및 전문인력 양성, 특히 산학협력형 인력양성 프로그램 지원이 중요하다.
    목차정보
    목차

    제1장 서론 ················································································································· 1

    1. 연구의 배경 및 목적 ························································································ 1

    1) 연구배경 ······································································································ 1

    2) 연구목적 ······································································································ 2

    2. 연구의 범위 및 방법 ························································································ 4

    1) 연구범위 ······································································································ 4

    2) 연구방법 ······································································································ 4

    3. 주요 연구내용 ··································································································· 4

    4. 기대효과 ··········································································································· 6

    제2장 국내외 데이터 활용 지원정책 ·········································································· 7

    1. 데이터 산업의 범위 및 현황 ············································································ 7

    1) 데이터 산업의 범위 ···················································································· 7

    2) 글로벌 데이터 산업 동향 ············································································ 8

    3) 국내 데이터 산업 현황 및 한계 ······························································· 11

    2. 국내 데이터 수집 및 활용 정책 ····································································· 14

    1) 공공 및 민간 마이데이터 사업 ································································· 14

    2) 데이터 댐 사업 ························································································· 21

    3) 국내 데이터 활용 지원정책 ······································································ 28

    3. 해외 데이터 수집 및 활용 정책 ····································································· 30

    1) 영국 ·········································································································· 30

    2) 미국 ·········································································································· 31

    3) EU ············································································································ 33

    4) 호주 ·········································································································· 34

    4. 시사점 ············································································································ 35

    제3장 부산지역 데이터 산업 여건조사 ···································································· 39

    1. 부산지역 활용 가능 데이터 자산 실태조사 ···················································· 39

    1) 조사 개요 ·································································································· 39

    2) 기관 일반현황 ··························································································· 40

    3) 데이터 생성 및 통합관리 실태 ································································· 41v

    4) 부산광역시 데이터 산업 특화 육성 방안 ·················································· 48

    2. 데이터 산업 활성화를 위한 신규 구축 데이터 수요조사 ······························· 50

    1) 조사 개요 ·································································································· 50

    2) 부산광역시 공공데이터 이용 만족도 및 수요조사 ···································· 51

    3) 부산광역시 데이터 산업 특화 육성 방안 ·················································· 55

    3. 시사점 ············································································································ 60

    제4장 부산지역 데이터 산업 육성 전략 ··································································· 66

    1. 부산지역 데이터 산업 SWOT 분석 ······························································· 66

    1) 강점(Strength) ························································································· 66

    2) 약점(Weakness) ······················································································ 66

    3) 기회(Opportunity) ···················································································· 67

    4) 위협(Threat) ····························································································· 67

    2. 부산지역 데이터 산업 육성 비전 및 전략 ····················································· 69

    1) 육성 방향 및 비전 ···················································································· 69

    2) 전략 및 과제 ···························································································· 69

    3. 부산지역 데이터 산업 육성 추진과제 ····························································· 70

    1) 부산형 데이터 댐 구축 추진과제 ······························································ 70

    2) 부산지역 데이터 산업 생태계 육성 추진과제 ··········································· 74

    제5장 결론 및 정책제언 ·························································································· 87

    1. 결론 ················································································································ 87

    2. 정책제언 ········································································································· 88

    1) ‘데이터 기본법’ 제정 대비 ······································································· 88

    2) ‘본인신용정보관리업(마이데이터)’ 활성화 ·················································· 89

    3) 민간주도 ‘디지털자산거래소’ 설립 ···························································· 89

    4) ‘국가정보자원관리원(공공클라우드센터)’ 부산센터 유치․설립 ···················· 90

    5) ‘해양 위성데이터’ 활용 비즈니스 특화 ····················································· 90

    Abstract ·················································································································· 92

    참고문헌 ··················································································································· 93

    부록 ·························································································································· 95

    1. 설문지 ············································································································ 95

    2. 설문조사 대상 기관·기업 일반현황 ······························································ 112

    표목차

    <표 2-1> 데이터 산업 정의 및 매출 발생 구조 ······························································ 8

    <표 2-2> 데이터 산업 시장 규모(2016~2020년) ························································· 12

    <표 2-3> 데이터 산업 시장 전망(2020~2026년) ························································· 13

    <표 2-4> 정부의 마이데이터 추진 동향(’21.3. 기준) ··················································· 15

    <표 2-5> 2018년 마이데이터(MyData) 시범사업 ························································· 16

    <표 2-6> 2019년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 16

    <표 2-7> 2020년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 17

    <표 2-8> 2021년 마이데이터(MyData) 실증서비스 선정 과제 ···································· 18

    <표 2-9> 정부의 마이데이터 사업 개요 ········································································ 20

    <표 2-10> 마이데이터 본허가 받은 국내 기업 ····························································· 21

    <표 2-11> 데이터 댐 7대 핵심사업(’20년 기준) ·························································· 22

    <표 2-12> 2021년 주요 데이터 활용 지원사업 내용 ··················································· 23

    <표 2-13> 2020년 AI 학습용 데이터 구축 과제 선정결과 ·········································· 26

    <표 2-14> 2021년 추경 인공지능 학습용 데이터 지정과제(25종) 목록 ······················ 27

    <표 2-15> 영국 마이데이터(Midata) 관련 제도 ··························································· 30

    <표 2-16> 미국 스마트 공시 관련 제도 ······································································· 32

    <표 2-17> 나라별 마이데이터 정책 비교 ······································································ 38

    <표 3-1> 공공기관 조사 ································································································ 39

    <표 3-2> 조사대상 공공기관 ························································································· 40

    <표 3-3> 데이터 저장·관리 시스템 구축현황 ································································ 44

    <표 3-4> 데이터 저장·관리 시스템 운영현황 ································································ 44

    <표 3-5> 기업체 조사 ··································································································· 50

    <표 3-6> 부산시 공공데이터 활용 목적 ········································································ 53

    <표 4-1> 부산지역 데이터 산업 육성 관련 SWOT 분석 ············································· 68

    <표 4-2> 초고령사회 노인 맞춤형 빅데이터 기술개발 ·················································· 76

    <표 4-3> 의료 마이데이터 연계 스마트 헬스케어 기술개발 ········································· 77

    <표 4-4> 부산시 스마트 서비스업 빅데이터 기술개발 ·················································· 78

    <표 4-5> 데이터 기반 스마트 방재서비스 시범사업 ····················································· 83

    <표 4-6> 데이터 기반 스마트 방범서비스 시범사업 ····················································· 84

    <표 4-7> 데이터 기반 스마트 교통사고 예방서비스 시범사업 ······································ 85

    <표 5-1> 국내 위성센터 비교 ······················································································· 91

    그림목차

    <그림 1-1> 한국판 뉴딜 10대 대표 과제 ······································································· 3

    <그림 1-2> 연구구성도 ···································································································· 5

    <그림 2-1> 세계 데이터 규모 ·························································································· 9

    <그림 2-2> 주요국 데이터 시장 규모(백만 유로) 및 ’19년 증가율 ······························ 10

    <그림 2-3> 주요국 데이터 공급기업 수 및 ’19년 증가율 ············································ 10

    <그림 2-4> 주요국 데이터 전문가 수(천명) 및 ’19년 증가율 ······································ 11

    <그림 2-5> 데이터 산업 시장 규모(2016~2020년) ······················································ 12

    <그림 2-6> 데이터 산업 시장 전망(2020~2026년) ······················································ 13

    <그림 2-7> 데이터 댐 7개 사업의 연계 구성도 ··························································· 22

    <그림 2-8> 통합데이터지도 네트워크 구성도 ································································ 24

    <그림 2-9> AI 학습용 데이터 구축·개방 현황(2017~2019) ········································ 25

    <그림 2-10> NIA 인공지능 학습용 데이터셋 구축사업 수행단계 ································· 25

    <그림 2-11> 공공데이터포털 주요서비스 ······································································ 29

    <그림 2-12> 공공데이터활용지원센터 ············································································ 29

    <그림 2-13> 국내 데이터 산업의 한계 및 대응방향 ····················································· 36

    <그림 3-1> 설립년도 ····································································································· 40

    <그림 3-2> 업무상 활용 가능한 데이터 발생 여부 ······················································· 41

    <그림 3-3> 기관 보유 데이터 ······················································································· 41

    <그림 3-4> 활용 가능한 데이터 ···················································································· 42

    <그림 3-5> 현재 공개 중인 데이터 ··············································································· 42

    <그림 3-6> 발생하는 데이터 분야 ················································································· 43

    <그림 3-7> 내부에서 생성되는 데이터 수집·관리 방식 ················································ 43

    <그림 3-8> 전담인력 수(명) ·························································································· 45

    <그림 3-9> 시스템 미보유 기관 향후 구축 계획 ·························································· 45

    <그림 3-10> 데이터의 외부 활용을 위한 공개 계획 ····················································· 46

    <그림 3-11> 선호하는 데이터 공개 방법 ······································································ 46

    <그림 3-12> 데이터 공개 계획이 없는 이유 ································································· 47

    <그림 3-13> 데이터 판매 계획이 없는 이유 ································································· 47

    <그림 3-14> 디지털 뉴딜 중 데이터 댐 사업 인지도 ··················································· 48

    <그림 3-15> 정부의 데이터 댐 사업의 가장 큰 효과 ··················································· 48

    <그림 3-16> 부산형 데이터 댐 구축사업 추진 시 적절한 분야 ··································· 49

    <그림 3-17> 부산 전략산업별 데이터 가치 및 활용도 5점 평균 비교 ························· 49viii

    <그림 3-18> 비즈니스 유형 ··························································································· 50

    <그림 3-19> 부산시 공공데이터포털(data.busan.go.kr) 인지도 ·································· 51

    <그림 3-20> 부산시 공공데이터를 주로 제공받는 곳 ··················································· 51

    <그림 3-21> 부산시 공공데이터를 주로 활용하는 분야 ················································ 52

    <그림 3-22> 부산시 공공데이터를 활용한 경험이 있는 분야 ······································· 52

    <그림 3-23> 부산시 공공데이터 활용 만족도 ······························································· 53

    <그림 3-24> 부산시의 공공데이터 이용 활성화를 위해 개선해야 할 점 ······················ 54

    <그림 3-25> 개방한 공공데이터 중 사업화 측면에서 향후 활용도가 높은 데이터 ······· 54

    <그림 3-26> 공공연구기관별 데이터 가치 및 활용도 5점 평균 비교 ··························· 55

    <그림 3-27> 데이터 개방 및 구매 희망 공공연구기관 ················································· 55

    <그림 3-28> 정부기관별 데이터 가치 및 활용도 5점 평균 비교 ································· 56

    <그림 3-29> 데이터 개방 및 구매 희망 정부기관 ························································ 57

    <그림 3-30> 출자출연기관별 데이터 가치 및 활용도 5점 평균 비교 ··························· 58

    <그림 3-31> 데이터 개방 및 구매 희망 출자출연기관 ················································· 59

    <그림 3-32> 공공기관의 데이터 산업 육성의견 ···························································· 61

    <그림 3-33> 민간기업의 데이터 산업 육성의견 ···························································· 62

    <그림 3-34> 부산의 데이터 산업 여건에 대한 공공기관과 민간기업 평가 ··················· 63

    <그림 3-35> 개방·공유를 원하는 공공데이터 키워드 ··················································· 65

    <그림 3-36> 개방·공유를 원하는 민간데이터 키워드 ··················································· 65

    <그림 4-1> 부산지역 데이터 산업 육성 비전 및 전략  ················································ 69